PYTHON + DATAFRAMES (pandas) import pandas as pd crimeData = {'agency_code': ['UT01803','TXSPD00','CA03711','MOSPD00','NY05101'], 'location': ['Salt Lake City, UT','San Antonio, TX','San Diego, CA','St. Louis, MO','Suffolk County, NY'], 'population': [191992,1463586,1400467,317095,1341453], 'homicides': [8,94,37,188,24], 'assaults': [874,5465,3601,3521,895], 'robberies': [469,1986,1378,1790,677]} df = pd.DataFrame(crimeData) df.set_index('agency_code', inplace=True) homicidesPerCapita = {'homicides_per_capita':[4,6,3,59,2,9]} df2 = pd.DataFrame(homicidesPerCapita) df3 = df.join(df2) df3 Questions: Why is printing homicides_per_capita as NaN? Sort the DataFrame by homicides per capita from greatest to least on the original DataFrame Filter/reduce the DataFrame down to only those with more than 50 total homicides OR (not 'and') over 5000 assaults Print the DataFrame Thanks!

PYTHON + DATAFRAMES (pandas) import pandas as pd crimeData = {'agency_code': ['UT01803','TXSPD00','CA03711','MOSPD00','NY05101'], 'location': ['Salt Lake City, UT','San Antonio, TX','San Diego, CA','St. Louis, MO','Suffolk County, NY'], 'population': [191992,1463586,1400467,317095,1341453], 'homicides': [8,94,37,188,24], 'assaults': [874,5465,3601,3521,895], 'robberies': [469,1986,1378,1790,677]} df = pd.DataFrame(crimeData) df.set_index('agency_code', inplace=True) homicidesPerCapita = {'homicides_per_capita':[4,6,3,59,2,9]} df2 = pd.DataFrame(homicidesPerCapita) df3 = df.join(df2) df3 Questions: Why is printing homicides_per_capita as NaN? Sort the DataFrame by homicides per capita from greatest to least on the original DataFrame Filter/reduce the DataFrame down to only those with more than 50 total homicides OR (not 'and') over 5000 assaults Print the DataFrame Thanks!

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Description: PYTHON + DATAFRAMES (pandas) import pandas as pd crimeData = {'agency_code': ['UT01803','TXSPD00','CA03711','MOSPD00','NY05101'],'location': ['Salt Lake City, UT','San Antonio, TX','San Diego, CA','St. Louis, MO','Suffolk County, NY'],'population': [

New Perspectives on HTML5, CSS3, and JavaScript

6th Edition

ISBN:9781305503922

Author:Patrick M. Carey

Publisher:Patrick M. Carey

Chapter14: Exploring Object-based Programming: Designing An Online Poker

Section14.1: Visual Overview: Custom Objects, Properties, And Methods

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